191 Interest Score
13 Discussions
0.07 Engagement
Jan 2025 Launched

The AI Data Analyst transforms how you interact with your data: connect your data sources effortlessly or upload spreadsheets, ask questions in natural language, and gain actionable insights.

What the Community Said

Three years ago, we launched Narrative BI on Product Hunt, aiming to democratize data analytics. The PH community support was amazing, and we even got 'Product of the Week'! Today, after empowering over 3,000+ teams with actionable insights from their data, we're excited to launch AI Data Analyst on Product Hunt! 🌟 Excited to answer your questions and hear your feedback!

— [REDACTED]

Interesting and pretty complicated problem. Congrats on the launch. As a data scientist I would be interesting in knowing the accuracy of the analytical result your platform has provided to a natural question. Do you have any such mechanism?

— [REDACTED]

This is such a creative solution. Great job!

— [REDACTED]

This is quite intriguing and aligns with what I've been seeking. However, I ran into some issues while trying to sign up; for instance, I couldn't move past the first screen during the onboarding process.

— [REDACTED]

This is very interesting and in fact something I am looking for. Unfortunately I wanted to sign up and during the onboarding I have encountered multiple mistakes as for example I cannot proceed with onboarding from the first screen :D But I will closely keep an eye on you :-) and wish you all the luck!

— [REDACTED]

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Frequently Asked Questions

Categories come from the product's launch tags. Most products appear in 2-3 categories. The primary category is listed first.

The scores reflect launch-period engagement. Historical data is preserved and doesn't change retroactively. The build date at the bottom shows when the index was last refreshed.

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A measure of community engagement at launch. Higher means more people noticed and interacted with the product. It's a traction signal, not a quality rating.

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